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Humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for...
Passed 18 of 22 test cases with the skill, and 7 of 22 without it.
and 12 more in the full report
14 fixed7 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
If no explicit intensity flag is provided when invoking the humanize command on docs/setup.md, what default intensity mode is applied?
| Checked | Without skill | With skill |
|---|---|---|
| Uses balanced as the default intensity mode. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when you need humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, regex-based, no API) and LLM (default, calls Claude for...
Rewrite natural-language memory files (CLAUDE.md, AGENTS.md, todos, preferences, docs) so they sound human-written: no sycophancy, no stock vocab, no five-paragraph essay shape, no tricolon padding. Everything technical stays exact: code blocks, inline code, URLs, file paths, commands, headings, tables.
Two modes:
--deterministic — fast regex pass that strips canonical AI-isms and tightens tricolons. No API call, no ANTHROPIC_API_KEY needed. Best for batch processing and CI.claude --print CLI fallback) to do a full rewrite that engineers burstiness, restructures performative paragraphs, and matches voice. Slower but better quality.Humanized version overwrites the original. A FILE.original.md backup is written first. Re-run after editing the .original.md to regenerate.
--mode)| Mode | What runs | Use when… |
|---|---|---|
subtle | Stock vocab only. | Structure is fine; you just want AI vocabulary gone. |
balanced | (Default.) Sycophancy, hedging, transitions, stock vocab, authority tropes, signposting, performative balance, em-dash cap. | Everyday docs / READMEs / CLAUDE.md. |
full | Balanced + filler phrases + negative-parallelism tricolons + stronger LLM prompt. | Marketing copy, release notes, slop-heavy LLM output. |
Use the deterministic pass to get a report, then fix anything that slipped:
humanize --deterministic --report audit.json doc.md # writes audit + humanized
humanize doc.md # optional LLM polish on top
audit.json lists every rule that fired, every before → after pair, and counts_by_rule. Great for reviewing what the regex changed before trusting the diff to merge.
/unslop-file <filepath>, /unslop:humanize <filepath>, or "humanize memory file", "de-slop this doc", "strip AI tone from this file".
test cases passed, vs 7 / 22 without
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